Wei Sun

6.9k total citations · 1 hit paper
150 papers, 5.1k citations indexed

About

Wei Sun is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wei Sun has authored 150 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Cardiology and Cardiovascular Medicine, 59 papers in Surgery and 57 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wei Sun's work include Cardiac Valve Diseases and Treatments (86 papers), Aortic Disease and Treatment Approaches (47 papers) and Elasticity and Material Modeling (44 papers). Wei Sun is often cited by papers focused on Cardiac Valve Diseases and Treatments (86 papers), Aortic Disease and Treatment Approaches (47 papers) and Elasticity and Material Modeling (44 papers). Wei Sun collaborates with scholars based in United States, China and Colombia. Wei Sun's co-authors include Caitlin Martin, Liang Liang, Michael S. Sacks, Minliang Liu, Thuy M. Pham, Wenbin Mao, Kewei Li, John A. Elefteriades, C. F. Martin and Andrés Caballero and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Wei Sun

147 papers receiving 5.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis

2018 326 citations Liang Liang, Minliang Liu et al. Journal of The Royal Society Interface profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wei Sun United States	42	2.9k	1.6k	1.6k	1.5k	977	150	5.1k
Robin Shandas United States	41	2.1k 0.7×	923 0.6×	1.8k 1.2×	1.5k 1.0×	639 0.7×	195	5.9k
Danny Bluestein United States	45	2.9k 1.0×	2.2k 1.4×	1.9k 1.2×	1.8k 1.2×	645 0.7×	176	5.4k
Ulrich Steinseifer Germany	30	1.4k 0.5×	1.4k 0.9×	1.7k 1.1×	756 0.5×	571 0.6×	271	3.4k
H. Reul Germany	29	1.9k 0.7×	1.4k 0.9×	1.7k 1.1×	832 0.6×	527 0.5×	157	3.5k
Francesco Migliavacca Italy	57	3.4k 1.2×	4.8k 3.0×	2.7k 1.7×	2.5k 1.7×	2.4k 2.4×	267	8.9k
K. B. Chandran United States	37	2.2k 0.8×	1.4k 0.9×	880 0.6×	1.1k 0.8×	373 0.4×	142	3.5k
Gabriele Dubini Italy	47	1.9k 0.7×	3.1k 1.9×	3.3k 2.1×	1.7k 1.2×	1.6k 1.7×	199	6.9k
Gerhard Sommer Austria	29	910 0.3×	1.6k 1.0×	2.9k 1.8×	1.4k 1.0×	173 0.2×	68	4.0k
Umberto Morbiducci Italy	39	2.6k 0.9×	2.5k 1.5×	1.4k 0.9×	1.8k 1.2×	273 0.3×	216	5.5k
Riccardo Pietrabissa Italy	30	607 0.2×	1.4k 0.9×	1.1k 0.7×	446 0.3×	623 0.6×	84	2.9k

Countries citing papers authored by Wei Sun

Since Specialization

Citations

This map shows the geographic impact of Wei Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Sun more than expected).

Fields of papers citing papers by Wei Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Sun. The network helps show where Wei Sun may publish in the future.

Co-authorship network of co-authors of Wei Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Sun. A scholar is included among the top collaborators of Wei Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Sun. Wei Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Du, Liang, et al.. (2025). A dataset of deep learning training for multimodal head images of individual cows. China Scientific Data. 10(1). 1–10.

Mao, Wenbin, Andrés Caballero, Norihiko Kamioka, et al.. (2024). Patient-specific analysis of bicuspid aortic valve hemodynamics using a fully coupled fluid-structure interaction model. Computers in Biology and Medicine. 172. 108191–108191. 9 indexed citations

Pang, Yong, et al.. (2024). Determining hyperelastic properties of the constituents of the mussel byssus system. Soft Matter. 20(11). 2442–2454. 6 indexed citations

Liu, Minliang, Hai Dong, John N. Oshinski, et al.. (2024). The role of anatomic shape features in the prognosis of uncomplicated type B aortic dissection initially treated with optimal medical therapy. Computers in Biology and Medicine. 170. 108041–108041. 2 indexed citations

Liang, Liang, Minliang Liu, John A. Elefteriades, & Wei Sun. (2023). PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta. Computer Methods and Programs in Biomedicine. 238. 107616–107616. 7 indexed citations

Liu, Minliang, Theodore Kim, Liang Liang, et al.. (2023). Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning. IEEE Transactions on Medical Imaging. 43(1). 203–215. 5 indexed citations

Liang, Liang, Minliang Liu, John A. Elefteriades, & Wei Sun. (2023). Synergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics. Computer Methods in Applied Mechanics and Engineering. 416. 116347–116347. 7 indexed citations

Dong, Hai, Minliang Liu, Xiaoying Lou, et al.. (2022). Ultimate tensile strength and biaxial stress–strain responses of aortic tissues—A clinical-engineering correlation. SHILAP Revista de lepidopterología. 10. 100101–100101. 5 indexed citations

Dong, Hai, Minliang Liu, Liang Liang, et al.. (2022). Engineering analysis of aortic wall stress and root dilatation in the V-shape surgery for treatment of ascending aortic aneurysms. Interactive Cardiovascular and Thoracic Surgery. 34(6). 1124–1131. 3 indexed citations

10.

Caballero, Andrés, et al.. (2022). Quantification of mitral regurgitation after transcatheter edge-to-edge repair: Comparison of echocardiography and patient-specific in silico models. Computers in Biology and Medicine. 148. 105855–105855. 9 indexed citations

11.

Caballero, Andrés, et al.. (2021). Computational Analysis of Virtual Echocardiographic Assessment of Functional Mitral Regurgitation for Validation of Proximal Isovelocity Surface Area Methods. Journal of the American Society of Echocardiography. 34(11). 1211–1223. 13 indexed citations

12.

Sun, Wei, et al.. (2021). Stanford type A acute aortic dissection with proximal intimo-intimal intussusception: a case report and literature review. Journal of Cardiothoracic Surgery. 16(1). 201–201. 2 indexed citations

13.

Caballero, Andrés, Wenbin Mao, Brian Barrett, et al.. (2020). The role of stress concentration in calcified bicuspid aortic valve. Journal of The Royal Society Interface. 17(167). 20190893–20190893. 31 indexed citations

14.

Lou, Xiaoying, Wei Sun, Minliang Liu, et al.. (2019). Abstract 14347: Biomechanical and Histological Analysis Supports Increased Stiffness and Fibrosis in Chronic versus Acute Aortic Dissection Flaps. Circulation. 1 indexed citations

15.

Liang, Liang, Minliang Liu, C. F. Martin, & Wei Sun. (2018). A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis. Journal of The Royal Society Interface. 15(138). 20170844–20170844. 326 indexed citations breakdown →

16.

Caballero, Andrés, Wenbin Mao, Raymond G. McKay, et al.. (2018). New insights into mitral heart valve prolapse after chordae rupture through fluid–structure interaction computational modeling. Scientific Reports. 8(1). 17306–17306. 31 indexed citations

17.

Pham, Thuy M., et al.. (2017). Quantification and comparison of the mechanical properties of four human cardiac valves. Acta Biomaterialia. 54. 345–355. 77 indexed citations

18.

Liu, Minliang, Liang Liang, & Wei Sun. (2017). Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach. Journal of the mechanical behavior of biomedical materials. 77. 649–659. 23 indexed citations

19.

Wang, Qian, Charles Primiano, Raymond G. McKay, Susheel Kodali, & Wei Sun. (2014). CT Image-Based Engineering Analysis of Transcatheter Aortic Valve Replacement. JACC. Cardiovascular imaging. 7(5). 526–528. 14 indexed citations

20.

Pham, Thuy M. & Wei Sun. (2011). Comparison of biaxial mechanical properties of coronary sinus tissues from porcine, ovine and aged human species. Journal of the mechanical behavior of biomedical materials. 6. 21–29. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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